Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
Authors: Huaming Chen, M. Ali Babar | Published: 2022-01-12 | Updated: 2023-12-17
バックドア攻撃
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning
Authors: Junyu Shi, Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang | Published: 2021-12-29 | Updated: 2022-10-07
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Authors: Shangwei Guo, Xu Zhang, Fei Yang, Tianwei Zhang, Yan Gan, Tao Xiang, Yang Liu | Published: 2021-12-19
On the Security & Privacy in Federated Learning
Authors: Gorka Abad, Stjepan Picek, Víctor Julio Ramírez-Durán, Aitor Urbieta | Published: 2021-12-10 | Updated: 2022-03-16
Adversarial Attacks Against Deep Generative Models on Data: A Survey
Authors: Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin. Ping Xiong, Wanlei Zhou | Published: 2021-12-01
Living-Off-The-Land Command Detection Using Active Learning
Authors: Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt | Published: 2021-11-30
Dissecting Malware in the Wild
Authors: Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue | Published: 2021-11-28 | Updated: 2021-12-04
Bayesian Framework for Gradient Leakage
Authors: Mislav Balunović, Dimitar I. Dimitrov, Robin Staab, Martin Vechev | Published: 2021-11-08 | Updated: 2022-03-17
Get a Model! Model Hijacking Attack Against Machine Learning Models
Authors: Ahmed Salem, Michael Backes, Yang Zhang | Published: 2021-11-08
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks
Authors: Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao | Published: 2021-10-13 | Updated: 2022-06-15